(Including but not limited to the following topics)
Track 1: Smart Agriculture
Intelligent perception of agriculture IoT (soil, weather, crops, equipment)
Intelligent irrigation, water and fertilizer integration, and variable application of pesticides
Agricultural drones, robots, and autonomous operations
Smart greenhouses, plant factories, and vertical agriculture
Individual identification of livestock and poultry, intelligent inspection, environmental control, and welfare-based breeding
Digitalized precision feeding, estrus monitoring, and disease warning through digitalization
Blockchain traceability and trusted supply chain for agricultural and livestock products
Digital twin farms/mountains, growth simulation, and production decision support
Track 2: Bioinformatics
Crop/poultry genomics, transcriptomics, proteomics, and metabolomics
Single-cell sequencing, spatial transcriptomics, and molecular breeding
Marker-assisted breeding (SNP, SSR) and genome-wide selection
Application of gene editing (CRISPR) in crop disease resistance, stress tolerance, and high yield
Digitalization of plant and animal germplasm resources and construction of gene banks
Macrogenomics, microbiomics, and regulation of soil/colonial microorganisms
Bioinformatics algorithms, databases, and visualization tools
Application of bioinformatics in variety identification and germplasm innovation
Track 3: Agricultural Big Data
AI models for climate-smart agriculture
Optimization and simulation of crop planting patterns
Intelligent irrigation and resource allocation systems
Analysis of sustainable agricultural strategies based on AI
Spatial agricultural data processing and trend prediction
Intelligent farm management and information integration platform
Cloud services and agricultural information visualization system
Rural informatization and agricultural information service system
Intelligent decision support systems and knowledge management
Digital agriculture and agricultural information security ......